Daily Featured Skills Count
4,689 4,727 4,753 4,784 4,818 4,870 4,879
04/28 04/29 04/30 05/01 05/02 05/03 05/04
♾️ Free & Open Source 🛡️ Secure & Worry-Free

Import Skills

Composite Most Downloads Most Likes Most Comments Newest
VegetaPn VegetaPn
from GitHub Content & Multimedia
  • 📁 assets/
  • 📁 config/
  • 📁 dependencies/
  • 📄 .birdrc.json5
  • 📄 .gitignore
  • 📄 CLAUDE.md
content users when

writing-assistant

Comprehensive writing workflow from ideation to publication. Guides users through creating polished articles by collecting ideas, asking clarifying questions, researching content, polishing drafts, adding images, and publishing to platforms like WeChat or X. Use when users want to write articles, blog posts, or long-form content, especially when starting from a topic idea, rough materials, or initial draft. Also use when users mention writing, publishing, or content creation workflows.

⬇0 ❤24 27 days ago · Uploaded Detail →
proyecto26 proyecto26
from GitHub Content & Multimedia
  • 📁 scripts/
  • 📄 SKILL.md
manage data notebooklm

notebooklm

Interact with Google NotebookLM notebooks — chat with the AI, generate artifacts (slides, audio, video, mind maps, quizzes, flashcards, infographics, reports, data tables), manage sources (add URLs, YouTube, files, text), run research (fast/deep web research), and manage notes. Use when the user wants to query, create content from, or manage their NotebookLM notebooks and sources.

⬇0 ❤24 27 days ago · Uploaded Detail →
planetis-m planetis-m
from GitHub Content & Multimedia
  • 📁 references/
  • 📄 SKILL.md
data exported nim

nim-api-design

Design clear public Nim APIs for libraries and modules, including exported types, constructors, lookup functions, error contracts, and container-style interfaces. Use when creating or reviewing a Nim library API, designing an exported module surface, or deciding how callers should construct, access, and validate data.

⬇0 ❤24 27 days ago · Uploaded Detail →
knoopx knoopx
from GitHub Databases & Storage
  • 📄 SKILL.md
commit conventional messages

conventional-commits

Writes and reviews Conventional Commits commit messages (v1.0.0) to support semantic versioning and automated changelogs. Use when drafting git commit messages, PR titles, release notes, or when enforcing a conventional commit format (type(scope): subject, BREAKING CHANGE, footers, revert).

⬇0 ❤24 29 days ago · Uploaded Detail →
tenequm tenequm
from GitHub Data & AI
  • 📁 evals/
  • 📁 scripts/
  • 📄 LICENSE.txt
  • 📄 SKILL.md
recording audio quality

audio-quality-check

Analyze audio recording quality - echo detection, loudness, speech intelligibility, SNR, spectral analysis. Use when the user wants to check a recording's quality, detect echo or duplication in audio files, measure speech clarity, compare original vs processed audio, diagnose why a recording sounds bad, or analyze audio tracks from Blackbox or any call recording app. Triggers on audio quality, recording analysis, echo detection, check recording, sound quality, analyze audio, speech quality, PESQ, STOI, loudness, SNR, audio diagnostics, recording sounds bad, echo in recording, audio duplication.

⬇0 ❤24 29 days ago · Uploaded Detail →
DasDigitaleMomentum DasDigitaleMomentum
from GitHub Docs & Knowledge
  • 📄 SKILL.md
  • 📄 tpl-archive-legacy-docs-prompt.md
  • 📄 tpl-legacy-summary.md
docs docs-legacy generating

archive-legacy-docs

Normalize legacy repositories by moving scattered documentation into docs-legacy/ (git-aware) and generating a docs-legacy/summary.md before generating new docs/plans.

⬇0 ❤24 1 month ago · Uploaded Detail →

Skill File Structure Sample (Reference)

skill-sample/
├─ SKILL.md              ⭐ Required: skill entry doc (purpose / usage / examples / deps)
├─ manifest.sample.json  ⭐ Recommended: machine-readable metadata (index / validation / autofill)
├─ LICENSE.sample        ⭐ Recommended: license & scope (open source / restriction / commercial)
├─ scripts/
│  └─ example-run.py     ✅ Runnable example script for quick verification
├─ assets/
│  ├─ example-formatting-guide.md  🧩 Output conventions: layout / structure / style
│  └─ example-template.tex         🧩 Templates: quickly generate standardized output
└─ references/           🧩 Knowledge base: methods / guides / best practices
   ├─ example-ref-structure.md     🧩 Structure reference
   ├─ example-ref-analysis.md      🧩 Analysis reference
   └─ example-ref-visuals.md       🧩 Visual reference

More Agent Skills specs Anthropic docs: https://agentskills.io/home

SKILL.md Requirements

├─ ⭐ Required: YAML Frontmatter (must be at top)
│  ├─ ⭐ name                 : unique skill name, follow naming convention
│  └─ ⭐ description          : include trigger keywords for matching
│
├─ ✅ Optional: Frontmatter extension fields
│  ├─ ✅ license              : license identifier
│  ├─ ✅ compatibility        : runtime constraints when needed
│  ├─ ✅ metadata             : key-value fields (author/version/source_url...)
│  └─ 🧩 allowed-tools        : tool whitelist (experimental)
│
└─ ✅ Recommended: Markdown body (progressive disclosure)
   ├─ ✅ Overview / Purpose
   ├─ ✅ When to use
   ├─ ✅ Step-by-step
   ├─ ✅ Inputs / Outputs
   ├─ ✅ Examples
   ├─ 🧩 Files & References
   ├─ 🧩 Edge cases
   ├─ 🧩 Troubleshooting
   └─ 🧩 Safety notes

Why SkillWink?

Skill files are scattered across GitHub and communities, difficult to search, and hard to evaluate. SkillWink organizes open-source skills into a searchable, filterable library you can directly download and use.

We provide keyword search, version updates, multi-metric ranking (downloads / likes / comments / updates), and open SKILL.md standards. You can also discuss usage and improvements on skill detail pages.

Keyword Search Version Updates Multi-Metric Ranking Open Standard Discussion

Quick Start:

Import/download skills (.zip/.skill), then place locally:

~/.claude/skills/ (Claude Code)

~/.codex/skills/ (Codex CLI)

One SKILL.md can be reused across tools.

FAQ

Everything you need to know: what skills are, how they work, how to find/import them, and how to contribute.

1. What are Agent Skills?

A skill is a reusable capability package, usually including SKILL.md (purpose/IO/how-to) and optional scripts/templates/examples.

Think of it as a plugin playbook + resource bundle for AI assistants/toolchains.

2. How do Skills work?

Skills use progressive disclosure: load brief metadata first, load full docs only when needed, then execute by guidance.

This keeps agents lightweight while preserving enough context for complex tasks.

3. How can I quickly find the right skill?

Use these three together:

  • Semantic search: describe your goal in natural language.
  • Multi-filtering: category/tag/author/language/license.
  • Sort by downloads/likes/comments/updated to find higher-quality skills.

4. Which import methods are supported?

  • Upload archive: .zip / .skill (recommended)
  • Upload skills folder
  • Import from GitHub repository

Note: file size for all methods should be within 10MB.

5. How to use in Claude / Codex?

Typical paths (may vary by local setup):

  • Claude Code：~/.claude/skills/
  • Codex CLI：~/.codex/skills/

One SKILL.md can usually be reused across tools.

6. Can one skill be shared across tools?

Yes. Most skills are standardized docs + assets, so they can be reused where format is supported.

Example: retrieval + writing + automation scripts as one workflow.

7. Are these skills safe to use?

Some skills come from public GitHub repositories and some are uploaded by SkillWink creators. Always review code before installing and own your security decisions.

8. Why does it not work after import?

Most common reasons:

  • Wrong folder path or nested one level too deep
  • Invalid/incomplete SKILL.md fields or format
  • Dependencies missing (Python/Node/CLI)
  • Tool has not reloaded skills yet

9. Does SkillWink include duplicates/low-quality skills?

We try to avoid that. Use ranking + comments to surface better skills:

  • Duplicate skills: compare differences (speed/stability/focus)
  • Low quality skills: regularly cleaned up